Himanshu  ·  Senior AI / ML Engineer  ·  7+ yrs

Senior
7+ years experienceremote
Available within 48 hrs

Proof of scale

500+ business signals detected
88 ML models trained
500+ business signals detected88 ML models trained

About Himanshu

Himanshu is a ML Engineer with 7+ years of experience in AI/ML development, specializing in deploying models on cloud platforms and integrating solutions into production environments. Vetted by Witarist and ready to join your team within 48 hours.

7+ years of commercial experience in

Skills(25)

AWSDjangoPythonTensorFlowMySQLFlaskDjango REST FrameworkFastAPILLMsNLPMLDLNeural NetworksRay ClusterBARTLLAMAVoice RecognitionNeo4JGraphDBGenerative AIHadoopBigDataDeep LearningCNNMachine Vision

Why hire Himanshu?

Production deploy authorityMentored 5+ juniorsLed multiple AI/ML projects

Direct ownership of AI/ML feature development and deployment from design to production across multiple projects.

Expertise in Python and AI/ML libraries like TensorFlow, Keras, and PyTorch.

Active involvement in code reviews, sanitisation, refactoring, and testing/debugging.

Developed and deployed AI-powered interview functionality for candidate evaluation, integrating backend logic for response evaluation and scoring.

Implemented and optimized Large Language Models (LLMs) like LLAMA, BART, and GPT for tasks such as interview question generation and text summarization.

Engineered and deployed ML platforms for critical applications like predicting suspicious banking activities and malignant/benign tumour identification.

Project highlights(10)

AI-Powered Job PortalMicroservice and AI Developer

Overview: HireAI is a job portal enabling companies to post job openings and candidates to apply. Responsibilities: Developed microservices using FastAPI to manage job postings, applications, and AI interview scheduling. Designed and implemented chatbot prompting for AI interview processes. Integrated backend logic for AI interviewer functionality, including response evaluation and scoring. Ensured scalability and performance optimization of the application.

FastAPIPythonLLMsNLP

Key outcomes:

  • Developed AI-powered interview functionality for candidate evaluation.

  • Integrated backend logic for response evaluation and scoring.

Suspicious Banking Activity PredictorAI/ML Developer

Overview: Developed a platform for a banking client to predict suspicious banking activities. Responsibilities: Implemented and trained ML algorithms for suspicious activity prediction. Performed hyper-parameter tuning to optimize model accuracy. Tested and improved the accuracy of the prediction model. Utilized Ray Cluster for parallel processing of ML/non-ML tasks.

PythonFlaskMySQLAWSMLDLNLPNeural NetworksRay ClusterTensorFlow

Key outcomes:

  • Developed an ML platform for predicting suspicious banking activities.

  • Implemented and optimized ML algorithms for accuracy.

ConvAIData Scientist

ConvAI — interview question answers in programming + LLMs (LLAMA + BART + speech-to-text).

PythonFlaskLLMsBARTLLAMAVoice RecognitionMLNeural NetworksNLP

Key outcomes:

  • Implemented LLAMA, BART, and speech-to-text models for generating interview answers.

  • Improved model accuracy through hyper-tuning and testing.

Kognetics v2.0.0Data Scientist

Kognetics v2.0.0 — ML-driven business decisions + graphical visualization + E2E Business AI Decision Services.

PythonFlaskMySQLNeo4JGraphDBMLDLNLPNeural NetworksTensorFlow

Key outcomes:

  • Developed an E2E Business AI Decision Services Management platform.

  • Deployed trained models on cloud for business decision-making.

  • Wrote reusable business logic/APIs.

Business Signal PredictorML Engineer

Business Signal Predictor — detecting 500+ business signals (FUNDING + ACQUISITION) + web scraping micro-service for live signals.

PythonFlaskMySQLNeo4JGraphDBMLDLNLPNeural NetworksTensorFlow

Key outcomes:

  • Developed a web scraping micro-service to collect 500+ business signals.

  • Trained ML models for signal prediction and stored data in RDF/GraphDB.

  • Deployed the trained models on cloud.

Industry experience

FinTech

2 projects
  • Suspicious Banking Activity PredictorAI/ML DeveloperPython · Flask · MySQL · AWS +6
  • Suspicious PredictorAI/ML developerPython · Flask · MySQL · AWS +6

AI / ML Platform

8 projects
  • AI-Powered Job PortalMicroservice and AI DeveloperFastAPI · Python · LLMs · NLP
  • Suspicious Banking Activity PredictorAI/ML DeveloperPython · Flask · MySQL · AWS +6
  • ConvAIData ScientistPython · Flask · LLMs · BART +5
  • Kognetics v2.0.0Data ScientistPython · Flask · MySQL · Neo4J +6
  • Business Signal PredictorML EngineerPython · Flask · MySQL · Neo4J +6
  • Context SummariserAI EngineerPython · Django · Flask · ML +6
  • Suspicious PredictorAI/ML developerPython · Flask · MySQL · AWS +6
  • Industry Taxonomy ClassifierML developerPython · TensorFlow · MySQL · BigData +4

HealthTech

1 project
  • Breast Cancer Prediction ModelML developerPython · TensorFlow · Hadoop · BigData +2

HR Tech

1 project
  • AI-Powered Job PortalMicroservice and AI DeveloperFastAPI · Python · LLMs · NLP

Ready to work with Himanshu?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience7+ years
Work moderemote
Starting from₹1.8 L/mo
Direct hirePossible
Start within48 hours
From₹1.8 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewer
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Himanshu

AI/ML Engineer